Developers Will Have Access To Data From 11 More Blockchains Through Google Cloud

CIOTechOutlook Team | Friday, 22 September 2023, 06:22 IST

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In addition to improving the program's current datasets, Google Cloud has announced that it has added 11 more of the most popular blockchains to the BigQuery public datasets initiative. According to a statement from Google Cloud, this expands on the company's collaboration with the community since early 2018 to democratize blockchain data through its BigQuery public datasets program, which will see the addition of six more datasets in 2019.
 
The 11 in-demand chains that Google Cloud is adding to BigQuery public datasets are: Avalanche; Arbitrum; Cronos; Ethereum (Görli); Fantom (Opera); Near; Optimism; Polkadot; Polygon Mainnet; Polygon Mumbai; and Tron, according to the release. Bitcoin, Ethereum (Mainnet), Bitcoin Cash, Dash, Litecoin, Zcash, Theta, Hedera Hashgraph, Band Protocol, XRP, and Dogecoin are among the popular chains that have previously been added to BigQuery public datasets.
 
Google Cloud is also improving the current Bitcoin BigQuery dataset by adding Satoshis (sats) / Ordinals to the open-source blockchain-ETL datasets for developers to query. Ordinals, in their simplest state, are a numbering scheme for sats, as per technode.
 
“We’re doing this because blockchain foundations, Web3 analytics firms, partners, developers, and customers tell us they want a more comprehensive view across the crypto landscape, and to be able to query more chains,
 
“They want to answer complex questions and verify subjective claims like ‘how many NFTs were minted today across three specific chains?’ or ‘how do transaction fees compare across chains?’ or ‘how many active wallets are on the top EVM chains?’,” said James Tromans, Global Head of Web3, Google Cloud.
 
“Having a more robust list of chains accessible through BigQuery and new ways to access data will help the Web3 community better answer these questions and others, without the overhead of operating nodes or maintaining an indexer,